Abstract: Sharpness-Aware Minimization (SAM) has been instrumental in improving deep neural network training by minimizing both training loss and loss sharpness. Despite the practical success, the ...
In recent years, the frequency of weather-related natural disasters—cyclones, torrential rains, floods—has increased as a consequence of global warming. These disasters cause billions of dollars in ...
As the 2026 FIFA World Cup unfolds across North America, the world is focused on the players, coaches, and dramatic moments on the field.
Mendelian randomization (MR) offers a powerful approach to study potential causal associations between exposures and health outcomes by using genetic variants associated with an exposure as ...
Abstract: Gradient-based Bi-Level Optimization (BLO) methods have been widely applied to handle modern learning tasks. However, most existing strategies are theoretically designed based on restrictive ...
Artificial intelligence has quietly reshaped recruitment. From sourcing, screening to selection of candidates, AI tools promise speed and scale in an ever-globalised workforce landscape following the ...
## MR-RAPS, MR-PRESSO outlier/distortion, Steiger directionality, and STROBE-MR-style summary. A1 = sample(c('A', 'C', 'G', 'T'), n_snps, replace = TRUE), A2 = sample ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results